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Atlassian Bitbucket MCP Server

by aashari

This project provides a Model Context Protocol (MCP) server that bridges AI assistants with Atlassian Bitbucket. It allows AI to securely access and interact with your repositories, pull requests, and workspaces in real time.

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What is Atlassian Bitbucket MCP Server?

This server implements the Model Context Protocol (MCP) for Bitbucket Cloud, allowing AI systems to securely connect and interact with Bitbucket data. It acts as a bridge between AI assistants and your Bitbucket instance.

How to use Atlassian Bitbucket MCP Server?

  1. Authenticate using a Bitbucket App Password or Atlassian API Token. 2. Configure credentials either through an MCP config file or environment variables. 3. Configure your MCP-compatible client (like Claude or Cursor) to launch the server. 4. Use the provided MCP tools with your AI assistant to interact with Bitbucket.

Key features of Atlassian Bitbucket MCP Server

  • Minimal Input, Maximum Output

  • Rich Code Visualization

  • Secure Local Authentication

  • Intuitive Markdown Responses

  • Full Bitbucket Integration

Use cases of Atlassian Bitbucket MCP Server

  • AI code assistance

  • Automated code review

  • AI-powered search

  • Pull request summarization

  • Workspace management

FAQ from Atlassian Bitbucket MCP Server

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI systems to securely and contextually connect with external tools and data sources.

What Bitbucket resources can I access?

You can access workspaces, repositories, pull requests, comments, code search, and more.

How do I authenticate?

You can authenticate using either a Bitbucket App Password or an Atlassian API Token.

Where are my credentials stored?

Credentials are never stored in the server. The server runs locally, so your tokens never leave your machine.

How do I use the CLI?

You can use the CLI with npx or install it globally with npm install -g @aashari/mcp-server-atlassian-bitbucket.